Associate Data Scientist

Capgemini • Nashville, TN

1d • $70,000 - $110,000

About The Position

We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights.

Requirements

• Bachelor’s or greater degree in Machine Learning, AI, or equivalent professional experience
• Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role.
• Experience in model deployment, MLOps, model monitoring, and managing data/model drift.
• Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion).
• Proficiency in programming languages such as Python and SQL.
• Proficiency in URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation.
• Proficiency with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Databricks, PySpark).
• Familiarity with AI frameworks such as LangChain and machine learning libraries like TensorFlow, PyTorch, and scikit-learn.
• Knowledge of deployment tools (e.g., Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy).
• Understanding of data engineering principles, including experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis).
• Strong problem-solving and troubleshooting skills.
• Familiarity with generative AI techniques, such as retrieval-augmented generation (RAG) patterns.
• Ability to collaborate effectively across teams.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Nice To Haves

• Experience with Graph database technology a plus. (e.g. Neo4J, Ontotext)

Responsibilities

• Application Architecture Design, Development, & Integration:
• AI & Machine Learning Models Development:
• Model Deployment & Maintenance:
• Emerging Technologies:
• Collaboration & Communication:

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level